Invention Grant
- Patent Title: Feature reordering based on similarity for improved memory compression transfers during machine learning jobs
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Application No.: US16836785Application Date: 2020-03-31
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Publication No.: US11568248B2Publication Date: 2023-01-31
- Inventor: Arash Hariri , Mehdi Saeedi , Boris Ivanovic , Gabor Sines
- Applicant: ATI Technologies ULC
- Applicant Address: CA Markham
- Assignee: ATI Technologies ULC
- Current Assignee: ATI Technologies ULC
- Current Assignee Address: CA Markham
- Agency: Volpe Koenig
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/08 ; H03M7/32 ; G06N20/10

Abstract:
A processing device for executing a machine learning neural network operation includes memory and a processor. The processor is configured to receive input data at a layer of the machine learning neural network operation, receive a plurality of sorted filters to be applied to the input data, apply the plurality of sorted filters to the input data to produce a plurality of different feature maps, compress the plurality of different feature maps according to a similarity of the feature maps relative to each other and store the plurality of different feature maps in the memory.
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